Abstract
For massive multiple-input multiple-output (MIMO) distributed wireless sensor networks, this paper investigates the role of multi-antenna sensors in improving network perception performance. First, we construct a distributed multi-antenna sensor network based on massive MIMO. By using the anti-fading characteristics of multi-antennas, it is better to achieve accurate detection than the single-antenna sensor network. Based on this, we derive a closed-loop expression for the detection probability of the best detector. Then, we consider the case that the sensor power resources are limited, and thus we want to use finite power to achieve higher detection probability. For this reason, the power was optimized by the alternating direction method of multipliers (ADMM). Moreover, we also prove that only statistical channel state is needed in large-scale antenna scenarios, which avoid the huge overhead of channel state information. Finally, according to the simulation results, the multi-antenna sensor network has better detection performance than the single-antenna sensor network which demonstrates the improved performance of the proposed schemes and also validates the theoretical findings.
Highlights
Each sensor makes a local observation within its coverage after limited initial processing, which is transmitted to the fusion center (FC)
In distributed multi-antenna wireless sensor networks based on massive multiple-input multiple-output (MIMO), it is assumed that the matrix H corresponds to the different column vectors for different sensors and is independent of each other, n = [n1, ..., n M ] T ∼ CN (0,σn2 I M ) is the noise at the fusion center
The distances di were uniformly distributed over [2, 20], in order to compare the effect of multi-antenna sensor and single-antenna sensor on detection performance in the same environment, we weaken the effect of distance on detection performance
Summary
Signal detection and parameter estimation in wireless sensor networks (WSNs) have been extensively studied [1,2,3], where event monitoring and spectrum sensing are important applications in wireless sensor networks. The application of large-scale MIMO communication technology in wireless sensor networks has attracted wide attention. This is because the large antenna array used by the base station (or convergence center) can simultaneously serve multiple sensors [9], which brings various benefits such as improved spectral efficiency, reduced delay, simplified signal processing [10], improved reliability and power efficiency [11]. The advantages of multi-antennas in WSN detection problems have recently been studied in [13,14], which inspired us to consider the performance impact of multiple antennas in detection networks. We hold interests in studying the role of multi-antenna sensors in distributed signal detection networks
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